Job Title - Data Engineering Consultant - GCP Architecture | S&C
Management Level: 09 - Consultant
Location: PAN India
Must Have Skills: GCP Architecture (BigQuery, Dataflow, Pub/Sub, Vertex AI Pipelines, Gemini API Integration), PySpark, SQL, Apache Beam
Good to Have Skills: dbt, Airflow, Terraform, Python
Job Summary:
As a Data Engineering Consultant specializing in GCP Architecture, you will be responsible for designing, building, and optimizing cloud-native data solutions on Google Cloud Platform. Your typical day will involve architecting scalable data pipelines using BigQuery, Dataflow, and Pub/Sub, integrating generative AI capabilities via the Gemini API, and deploying ML workflows through Vertex AI Pipelines. You will work closely with data architects and engineering teams to translate business requirements into production-grade GCP data architectures and deliver robust GCP solutions.
Roles & Responsibilities:
• Design and implement end-to-end data architectures on GCP leveraging BigQuery, Dataflow, Pub/Sub, Vertex AI Pipelines, and Gemini API.
• Build scalable, serverless streaming and batch data pipelines using Apache Beam and Cloud Dataflow.
• Integrate Gemini API for generative AI use cases within data products and analytical workflows.
• Orchestrate ML training and inference pipelines on Vertex AI, ensuring reliability and performance at scale.
• Configure real-time event-driven architectures using Pub/Sub for data ingestion and messaging.
• Collaborate with data scientists, analysts, and client stakeholders to define data platform requirements.
• Conduct performance tuning, cost optimization, and governance reviews for GCP environments.
• Stay current with GCP product releases and AI/ML advancements, recommending adoption where impactful.
Professional & Technical Skills:
• Must Have Skills: Proficiency in GCP services — BigQuery, Dataflow, Pub/Sub, Vertex AI Pipelines, and Gemini API Integration, hands-on experience in Pyspark, SQL, Python for pipeline development.
• Hands-on experience designing and deploying streaming and batch data pipelines on GCP.
• Strong SQL and Python skills for data transformation and pipeline development.
• Experience with Vertex AI Pipelines for orchestrating end-to-end ML workflows.
• Knowledge of IAM, VPC, and GCP security best practices for data platforms.
• Familiarity with CI/CD tooling and infrastructure-as-code (Terraform or Deployment Manager).
• Exposure to dbt or similar transformation frameworks is an advantage.
Additional Information:
• The ideal candidate will have a strong background in cloud data engineering with demonstrable experience delivering GCP-based solutions in consulting or enterprise environments.
• This position is based at PAN India offices.
About Our Company | Accenture
Experience: Minimum 3 year(s) of experience is required
Educational Qualification: B.Tech/BE/MCA or equivalent in Computer Science or related field
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Skills Required
- Minimum 3 years of professional experience
- B.Tech, BE, MCA, or equivalent degree in Computer Science or a related field
- GCP architecture experience, including BigQuery, Dataflow, Pub/Sub, Vertex AI Pipelines, and Gemini API integration
- Hands-on experience with PySpark, SQL, and Apache Beam
- Strong Python and SQL skills for data transformation and pipeline development
- Experience designing and deploying streaming and batch data pipelines on GCP
- Experience with Vertex AI Pipelines for end-to-end machine learning workflows
- Knowledge of IAM, VPC, and GCP security best practices
- Familiarity with CI/CD tooling and infrastructure as code using Terraform or Deployment Manager
- Experience with dbt or similar transformation frameworks
- Experience with Airflow
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
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Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
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Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
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Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
Accenture Insights
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What We Do
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
